Results 161 to 170 of about 8,812,189 (281)

RNA Promotes Synapsin Condensates That Organize Synaptic Vesicles in Live Neurons and Enable Localized Translation in Reconstituted System

Advanced Science, EarlyView.
Condensates at synapses organize synaptic vesicles (SVs) and are crucial for efficient neurotransmitter release, yet how RNA contributes to this mesoscale architecture remains poorly understood. Here we uncover that RNA modulates synapsin–driven condensates.
Branislava Rankovic, Zachary M. Geisterfer, Akshita Chhabra, Vladimir M. Jovanovic, Ian Seim, Christian Hoffmann, Antonela Condric, Gerard Aguilar Pérez, Rinse de Boer, Lars T. Hofstede, Jingao Sun, Kiara Freitag, Katja Nowick, Marina Jendrach, Frank L. Heppner, Vladimir Despic, Michaela Müller‐McNicoll, Stephan Sigrist, Geert van den Bogaart, Sofiia Reshetniak, Amy S. Gladfelter, Dragomir Milovanovic   +21 more
wiley   +1 more source

Embracing nonlinearity and geometry: a dimensional analysis guided design of shock absorbing materials. [PDF]

Nat Commun
Gupta A, Chawla K, Maheswaran B, Syrlybayev D, Thevamaran R.   +4 more
europepmc   +1 more source

Versatile Co‐Engineering of Immunogenic Cell Death‐Primed Dead Tumor Cell Bodies With Tumor‐Activated MnO2 for cGAS‐STING‐Potentiated Personalized Immunotherapy

Advanced Science, EarlyView.
DTBEI@CS@MnO2, fabricated via modular electrostatic co‐engineering and photothermal/photodynamic immunogenic cell death, specifically responds to the acidic and GSH‐rich tumor microenvironment. This triggers the release of DTBEI that provides tumor antigens, DNA, and DAMPs, as well as the generation of Mn2+, thereby synergistically potentiating cGAS ...
Bolun Xu, Xuan Lu, Yuquan Wang, Haihua Ji, Ying Zhang, Yiqun Wan, Hao Wan   +6 more
wiley   +1 more source

Investigation of Variable Damping Shock Absorber Performance of Automotives in Shock Prone Areas

The SIJ Transactions on Computer Science Engineering & its Applications (CSEA), 2016
Ogega Anyoka Patrick, Johana K. Sigey, Jeconiah A. Okelo, James M. Okwoyo, Kang’ethe Giterere   +4 more
openaire   +1 more source

A Deep Learning On-Board Health Monitoring Method for Landing Gear Shock-Absorbing Systems. [PDF]

Sensors (Basel)
Li C, Chen W, Qin W.
europepmc   +1 more source

Inverse Design of Pre‐Strain via a Predictive Electromechanical Model for Enhanced Strain Sensing

Advanced Science, EarlyView.
An analytical electromechanical model rooted in microcrack evolution mechanics is globally calibrated from only eight pre‐strain datasets, enabling prediction of the complete sensing response at untested pre‐strain values within the calibrated design space (R2 > 0.99).
Jia‐Chen Shang, Rui Wang, Bo Lu, Ming‐Liang Song, Yu‐Yi Chen, Kuo Han, Xin‐Jie Feng, Bin Sun, Yao‐Guang Cao, Xiao‐Yu Yan, Shi‐Chun Yang   +10 more
wiley   +1 more source

A Mantis-Inspired Multi-Quadrupole Adaptive Landing Gear Design and Performance Study. [PDF]

Biomimetics (Basel)
Chu Y, Lv Z, Gu S, Wang Y, Yu T.
europepmc   +1 more source

Deep Learning‐Driven Discovery and Engineering of an Efficient PETase for Depolymerization and Detoxification of PET Microplastics Under Physiological Conditions

Advanced Science, EarlyView.
A deep learning–driven pipeline mining 246 million protein sequences uncovers AhPETase, an evolutionarily distinct PET hydrolase. Engineered variant AhPETaseM1 degrades post‐consumer PET microplastics under physiological conditions and reverses microplasticinduced cytotoxicity in human lung and colon cells, establishing enzymatic microplastic ...
Yuxuan Wang, Shijie He, Yuheng Chang, Sheng Mao, Jianan Canal Li, Binbin Chen, Hongxun Gao, Mingchun Xu, Chenxu Liu, Yajie Wang   +9 more
wiley   +1 more source

Design and performance analysis of electric shock absorbers

R. P. Jenish, Surbhi Gupta
openaire   +1 more source

Trusses beyond trusses: intertwined and straw-based metamaterials and beyond. [PDF]

NPJ Metamater
Pescialli E, Chen J, Karapiperis K, Ilssar D, Kochmann DM.   +4 more
europepmc   +1 more source